Exact(60)
With case-based reasoning, the optimization process can be populated from the previously found optimal configurations, and then further search for optimization can start from there.
Then using this newly found optimal value for objective 1, objective 2 is optimized.
Respondents chose one option they found optimal.
This temperature has been found optimal for removal of nonspecific nanoMIPs [5].
In the first 11 benchmark instances, our algorithm found optimal solutions.
In all these configurations, the hidden layer with 200 neurons was found optimal.
The simulation results validate the correctness of analytically found optimal criteria of subcarrier selection.
Therefore, the system described above with no additional base was found optimal.
In order to better identify free parameter values, we took a small neighborhood around the already found optimal solution.
A soft noise reduction filter with a cutoff frequency of 0.6 to 0.7 cm−1 was found optimal.
Evaporation rate of 0.4 g/cm2 was found optimal for making monoliths in cylindrical enclosures of different sizes for experimentation.
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